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Bjørsvik et al.
TABLE 1. Exp er im en ts P er for m ed for Exp lor a tion a n d
Op tim iza tion of th e 1,3-Din itr oben zen e-Ca ta lyzed
Aer obic Oxid a tion P r ocess
The introduction of tert-butyl alcohol as solvent and
potassium tert-butoxide as base allowed the oxidation
method to operate successfully to afford desired carbox-
ylic acid. We believe that the tert-butoxide anion operates
only as a base without involvement in the SET process,
which is in agreement with earlier reports.12,20-22 Except
from the substrate and the corresponding carboxylic acid,
no other compounds were observed in the reaction
mixture. Experiments that demonstrated low selectivity
(Tables 1-3) contained only tars in addition to desired
carboxylic acid. In general, absence of 1,3-dinitrobenzene
disfavored the desired oxidation reaction and resulted in
lowered yield and selectivity.
An experiment performed without bubbling oxygen
(entry 27, Table 1) but with 5 mol % of 1,3-dinitobenzene
present afforded less than 10% of benzoic acid and thus
supported our belief that the reaction could be ascribed
to the stoichiometric oxidation with 1,3-dinitrobenzene
as oxidant, Scheme 1.
When the oxidation process was performed without the
mediator 1,3-dinitrobenzene present (entry 26, Table 1),
a surprisingly high yield of benzoic acid was determined,
namely, 63.7% with a conversion of 96.2%, which however
corresponds to a selectivity of only 66.2%. The base-
catalyzed autoxidation indicated as pathway (g) of Scheme
4 thus seems to be a substantial contributor to the overall
picture. Such a base-catalyzed aerobic oxidation of methyl
aryl ketones was described in the old literature.23 Later
reports by Wallace et al.24 and Petricˇ et al.25 describe
similar processes. These processes suffer however from
serious “environmental drawbacks” because the two
processes require the rather environmentally unfriendly
solvents hexamethylphosphoramide (HMPA) and dimeth-
ylformamide (DMF), respectively. Moreover the process
using HMPA as reaction medium is also burdened by a
very long reaction time.
Depending on the experimental conditions large varia-
tions of the obtained yield and selectivity were observed
for what we initially assumed to be the composite process
outlined in Scheme 4. These variations were explored
systematically when a series of experiments comprising
entries 1-26 of Table 1 were performed. The experiments
of Table 1 constitute a 21 × 32 factorial design.26 The two
experimental variables x1, quantity of t-BuOK, and x2,
reaction temperature, were initially explored on three
levels, while a third variable x3, quantity of the catalyst
1,3-dinitrobenzene, was explored at two experimental
levels. An empirical model shown in eq 1 relates the yield
reaction conditionsa
t-BuOK 1,3-Ph(NO3)2 conv selectivity yield
entry [mmol] [°C] O2
measured responsesb
T
[mmol]
0.12
[%]
[%]
[%]
1
2
3
4
5
6
7
8
2.4
2.4
4.8
4.8
7.2
7.2
2.4
2.4
4.8
4.8
7.2
7.2
2.4
2.4
4.8
4.8
7.2
7.2
8.0
8.0
7.2
7.2
7.6
7.6
8.0
8.0
7.2
15.0
20
20
20
20
20
20
50
50
50
50
50
50
80
80
80
80
80
80
90
90
90
90
85
85
80
80
80
80
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
-
+
55.8
44.7
67.0
52.0
73.0
69.2
50.0
64.5
74.6
66.8
76.6
85.0
75.8
70.5
72.9
88.3
92.5
91.7
75.8
94.2
87.9
95.6
91.4
94.6
95.8
96.2
13.3
23.1
25.9
59.6
51.7
57.7
44.6
71.6
53.8
71.5
71.2
92.9
53.9
44.0
48.1
84.0
39.2
87.4
63.6
98.9
53.5
86.0
66.1
80.0
59.9
87.8
66.2
60.0
13.0
11.6
39.9
26.9
42.3
31.0
35.8
34.7
53.5
47.6
71.3
45.8
34.0
33.9
61.2
34.6
80.8
58.2
75.2
50.6
75.6
63.2
72.9
56.8
84.2
63.7
<9
0.12
0.12
0.12
0.12
0.12
0.12
0.12
0.12
0.12
0.12
0.12
0.12
9
10
11
12
13
14
15
16
17
18
19c
20
21c
22
23c
24
25c
26
27d
28e
0.12
0.12
a
Procedure: Acetophenone (0.288 g 2.4 mmol) was dissolved
in t-BuOH (12 mL), followed by addition of t-BuOK and 1,3-
dinitrobenzene (0.12 mmol) with oxygen bubbling through the
reaction mixture. The reaction mixture was heated with stirring
b
for a period of 5 h. Conversion selectivity and yield are based on
isolated products and recovered substrates. Isolated substances
are corrected for impurities by GC analysis. Moreover, isolated
substances were also analyzed on GC-MS and NMR for identifica-
tion. c Experiment based on model for searching optimized condi-
d
tions. Experiment performed without bubbling oxygen but under
nitrogen atmosphere. The isolated product was impure. e NaOH
was used as base. NaOH was added as 30% (7.5 M) aqueous
solution.
It is reasonable to believe that the reaction following
pathway (c) may be restrained by increased oxygen
pressure that would favor oxidation over dimerization of
the 1-nitro-3-nitrosobenzene radical anions 21.
The new oxidation method described above is per-
formed in the absence of water and with a strong base
present for the formation of enolate anion from the
methyl aryl ketone and for the regeneration of reduction
products 7, 10, 11, etc. derived from the mediator 3. 1,3-
Dinitrobenzene is used in catalytic quantities (initially
we used 5 mol %) with molecular oxygen as the terminal
oxidant. When water is used as solvent as in the
stoichiometric process,7 the oxidation cycle fails (entry
28, Table 1).
(20) Guthrie, R. E.; Weisman, G. R.; Burdon, L. G. J . Am. Chem.
Soc. 1974, 96, 6955.
(21) Guthrie, R. E.; Weisman, G. R. J . Am. Chem. Soc. 1974, 96,
6962.
(22) Guthrie, R. E.; Pendygraft, G. W.; Young, A. T. J . Am. Chem.
Soc. 1976, 98, 5877.
(23) Miller, W.; Rohde, A. Ber. Dtsch. Chem. Ges. 1892, 25, 2095.
(24) Wallace, T. J .; Pobiner, H.; Schriesheim, A. J . Org. Chem. 1965,
30, 3768.
(25) Zabjek, A.; Petric, A. Tetrahedron Lett 1999, 40, 6077.
(26) Factorial design is a type of statistical experimental design
It has been shown by ESR studies13 that proton
interaction between the aromatic anion and the solvent
(i.e., hydrogen bonding) or a polarizing effect of the
oriented ionic environment as existing in the polar
solvents may influence change in the nitro group elec-
tronic distribution. Water has a higher dielectric constant
versus t-BuOH or other alcohols, so the influence is
stronger and can inhibit the redox process.
constructed for gaining maximum information from
a minimum
number of experiments. The regression models obtained from such
experimental plans comprise terms that explain the interaction
between the different experimental variables. A full account of such
methodology is give in (a) Box, G. E. P.; Hunter, W. G.; Hunter, J . S.
Statistics for Experimenters, An Introduction to Design Data Analysis
and Model Building; Wiley: New York, 1978. (b) Box, G. E. P.; Draper,
N. R. Empirical Model-Building and Response Surfaces; Wiley: New
York, 1987.
7496 J . Org. Chem., Vol. 67, No. 21, 2002